{"id":"W3201592903","doi":"10.1109/ijcnn52387.2021.9533905","title":"Efficient Parameter Based Online Object Tracking","year":2021,"lang":"en","type":"article","venue":"","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Artificial intelligence; Pattern recognition (psychology); Histogram; Discriminative model; Video tracking; Computer science; Dirichlet distribution; Mixture model; Latent Dirichlet allocation; Computer vision; Feature (linguistics); Representation (politics); Object (grammar); Generative model; Mathematics; Image (mathematics); Topic model; Generative grammar","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001055535,0.001019053,0.002392158,0.001401881,0.0005945528,0.001328065,0.002454486,0.001379679,0.002314754],"category_scores_gemma":[0.002744013,0.0005812376,0.0008128715,0.002000252,0.000525388,0.002087443,0.001766873,0.001272836,0.002250116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009907405,"about_ca_system_score_gemma":0.001270545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005038176,"about_ca_topic_score_gemma":0.006190939,"domain_scores_codex":[0.998751,0.0001582139,0.00005658943,0.0004056803,0.0005041279,0.0001244396],"domain_scores_gemma":[0.9988725,0.0003487148,0.0001108912,0.0003754056,0.0002375546,0.00005495388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002468057,0.0001682351,0.001123552,0.00007603066,0.00006761489,0.00009977367,0.0001006847,0.1896375,0.02137673,0.00761001,0.004389375,0.7751037],"study_design_scores_gemma":[0.000008553236,0.00001758869,0.0003282368,0.000003828441,0.000006965945,0.00008003417,0.000009346512,0.9900856,0.004476467,0.00376769,0.001203668,0.00001213971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006367907,0.0002207918,0.9901741,0.00003337711,0.00002678296,0.00002363944,0.0000580594,0.0020775,0.001017874],"genre_scores_gemma":[0.3926686,0.0004058867,0.5986785,0.0001356856,0.00007208269,0.0001435686,0.0009792688,0.0003802072,0.006536249],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005038176,"threshold_uncertainty_score":0.01001769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04568735258642043,"score_gpt":0.3153201587799722,"score_spread":0.2696328061935517,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}